Right now, someone on your team is pasting company data into ChatGPT.

It's happening today. This morning. Maybe an hour ago.

Whether your company has ten employees or ten thousand, AI tools are already inside your workflows. Someone is using ChatGPT to clean up an email. Someone is asking Claude to summarize a contract. Someone is pasting a vendor proposal into an AI tool to see what they're missing. Most of it is harmless. Some of it isn't. And without a policy, you have no visibility into which is which.

That's the actual problem. The risk isn't AI. The risk is not knowing.

The companies I work with aren't tech companies. They move fuel. They manage facilities. They support members. They fix equipment. Their teams aren't reading product launches on Hacker News. They're using AI the way they use any new tool: opening it up, trying things, figuring out what works. And nobody has told them what's allowed.

What a real AI policy actually does

A surprising number of leaders think an AI policy needs to be a thirty-page document with legal sign-off and a vendor approval matrix. It doesn't. Most of the value sits in answering three questions, clearly enough that the person on your team using ChatGPT this afternoon knows what's allowed.

What tools are approved? Not "AI in general." Specific tools, named, with the version your team uses. ChatGPT free and ChatGPT Team have different data retention defaults. That difference matters.

What data is off-limits? Customer names, financial information, anything covered by an NDA, anything you wouldn't want on a billboard. Write the categories down. If a category isn't on the list, your team will assume it's fine, because they have to assume something to keep working.

Who reviews AI-generated work before it goes external? A client email. A board memo. A contract clause. A press response. Somebody human reads it before it leaves the building. Name who.

That's it. Three questions, answered in plain language. You can write the first version in an afternoon.

Why "policy today" beats "perfect policy"

The traps are mostly procrastination dressed up as caution. We're waiting until legal reviews it. We want to see what other companies are doing. We're going to roll it into the broader IT policy refresh next quarter.

Meanwhile, your team is using AI right now. With no rules. Every day without a policy is a day where the answer to "is this OK to paste into ChatGPT?" is whatever the employee guesses.

You don't need a perfect policy. You need a policy today.

The other thing a policy does

The strongest reason to have an AI policy isn't risk management. It's permission.

Right now, the cautious half of your team is using AI quietly because they're not sure if it's allowed. The bolder half is using it openly because nobody said no. Neither group is asking the question that actually matters: how could AI make this work better?

A clear policy opens up that conversation. Once everyone knows what's allowed, you can start having real discussions about where AI helps and where it doesn't. That's where the productivity gain lives. Not in any individual tool, but in a team that knows where the rails are and can experiment inside them.